classification
2 episodes mention this concept
lexfridmanSep 27, 2016Foundations of Deep Learning: Feedforward Neural Networks, Backpropagation, and Training Techniques
TechnologyFeedforward Neural NetworksInput VectorHidden LayersPre-activation- lexfridmanSep 27, 2016
TensorFlow Core APIs: Building Machine Learning Models from Linear Regression to Digit Recognition
TechnologyTensorFlowMachine Learning LibraryOpen SourceData Flow Infrastructure
Knowledge Graph
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Related concepts
Concepts that appear alongside classification across episodes.
- hidden layers
- loss function
- training operations
- placeholders
- l2 regularization (weight decay)
- model evaluation
- checkpoints (saving/loading model state)
- sessions
- input vector
- portability (cpu, gpu, tpu, mobile)
- flow graph
- inference graph (forward graph)
- tensors
- mnist dataset
- machine learning library
- data flow infrastructure
- computation graph
- weights and biases
- optimizer (gradient descent, adam)
- tensorflow